Rounding up on x and y when using point cloud library pcl in python after reading x,y,z from postgresql
The workflow:
I'm trying to get x,y,z coordinates from PostgreSQL, bring these into python-pcl and apply a filter
My steps (in python 3.x):
Get the data from the database
import psycopg2
conn = psycopg2.connect("<connection details>")
cur = conn.cursor()
cur.execute("""SELECT x,y,z FROM pc_processing.basesample;""")
data = cur.fetchall()
cur.close()
So the row 0 of the data object looks like this:
data[0] (580991.4074, 4275267.5225, 192.3994)
data[1] (580991.4085, 4275267.5472, 192.394)
data[2] (580991.4098, 4275267.5498, 192.3937)
...
import to pcl
import pcl
p = pcl.PointCloud(data)
If I take:
p[0] it returns (580991.4375, 4275267.5, 192.39939880371094)
p[1] it returns (580991.4375, 4275267.5, 192.3939971923828)
p[2] it returns (580991.4375, 4275267.5, 192.3701934814453)
...
If I send it back to the database, turn it into a geom and visualise it in qgis it looks like a point grid, spaced in the x-axis 0.065m apart and in the y-axis 0.5m apart. The z-axis is in a higher resolution. Have I done something obviously wrong in the import step? Any idea how to fit this?
In case anyone asks, I'm storing the points in xyz columns for a specific reason rather than the pgpointcloud route.
python point-cloud-library
asked Nov 24 '18 at 23:05
Gary NoblesGary Nobles
329316
add a comment |
The workflow:
I'm trying to get x,y,z coordinates from PostgreSQL, bring these into python-pcl and apply a filter
My steps (in python 3.x):
Get the data from the database
import psycopg2
conn = psycopg2.connect("<connection details>")
cur = conn.cursor()
cur.execute("""SELECT x,y,z FROM pc_processing.basesample;""")
data = cur.fetchall()
cur.close()
So the row 0 of the data object looks like this:
data[0] (580991.4074, 4275267.5225, 192.3994)
data[1] (580991.4085, 4275267.5472, 192.394)
data[2] (580991.4098, 4275267.5498, 192.3937)
...
import to pcl
import pcl
p = pcl.PointCloud(data)
If I take:
p[0] it returns (580991.4375, 4275267.5, 192.39939880371094)
p[1] it returns (580991.4375, 4275267.5, 192.3939971923828)
p[2] it returns (580991.4375, 4275267.5, 192.3701934814453)
...
If I send it back to the database, turn it into a geom and visualise it in qgis it looks like a point grid, spaced in the x-axis 0.065m apart and in the y-axis 0.5m apart. The z-axis is in a higher resolution. Have I done something obviously wrong in the import step? Any idea how to fit this?
In case anyone asks, I'm storing the points in xyz columns for a specific reason rather than the pgpointcloud route.
python point-cloud-library
asked Nov 24 '18 at 23:05
Gary NoblesGary Nobles
329316
I think I need to bring the data in via numpyp = pcl.PointCloud(np.array([[data[1,2,3]], [3, 4, 5]], dtype=np.float32))
– Gary Nobles
Nov 25 '18 at 15:32
add a comment |
The workflow:
I'm trying to get x,y,z coordinates from PostgreSQL, bring these into python-pcl and apply a filter
My steps (in python 3.x):
Get the data from the database
import psycopg2
conn = psycopg2.connect("<connection details>")
cur = conn.cursor()
cur.execute("""SELECT x,y,z FROM pc_processing.basesample;""")
data = cur.fetchall()
cur.close()
So the row 0 of the data object looks like this:
data[0] (580991.4074, 4275267.5225, 192.3994)
data[1] (580991.4085, 4275267.5472, 192.394)
data[2] (580991.4098, 4275267.5498, 192.3937)
...
import to pcl
import pcl
p = pcl.PointCloud(data)
If I take:
p[0] it returns (580991.4375, 4275267.5, 192.39939880371094)
p[1] it returns (580991.4375, 4275267.5, 192.3939971923828)
p[2] it returns (580991.4375, 4275267.5, 192.3701934814453)
...
If I send it back to the database, turn it into a geom and visualise it in qgis it looks like a point grid, spaced in the x-axis 0.065m apart and in the y-axis 0.5m apart. The z-axis is in a higher resolution. Have I done something obviously wrong in the import step? Any idea how to fit this?
In case anyone asks, I'm storing the points in xyz columns for a specific reason rather than the pgpointcloud route.
python point-cloud-library
asked Nov 24 '18 at 23:05
Gary NoblesGary Nobles
329316
The workflow:
I'm trying to get x,y,z coordinates from PostgreSQL, bring these into python-pcl and apply a filter
My steps (in python 3.x):
Get the data from the database
import psycopg2
conn = psycopg2.connect("<connection details>")
cur = conn.cursor()
cur.execute("""SELECT x,y,z FROM pc_processing.basesample;""")
data = cur.fetchall()
cur.close()
So the row 0 of the data object looks like this:
data[0] (580991.4074, 4275267.5225, 192.3994)
data[1] (580991.4085, 4275267.5472, 192.394)
data[2] (580991.4098, 4275267.5498, 192.3937)
...
import to pcl
import pcl
p = pcl.PointCloud(data)
If I take:
p[0] it returns (580991.4375, 4275267.5, 192.39939880371094)
p[1] it returns (580991.4375, 4275267.5, 192.3939971923828)
p[2] it returns (580991.4375, 4275267.5, 192.3701934814453)
...
If I send it back to the database, turn it into a geom and visualise it in qgis it looks like a point grid, spaced in the x-axis 0.065m apart and in the y-axis 0.5m apart. The z-axis is in a higher resolution. Have I done something obviously wrong in the import step? Any idea how to fit this?
In case anyone asks, I'm storing the points in xyz columns for a specific reason rather than the pgpointcloud route.
python point-cloud-library
python point-cloud-library
asked Nov 24 '18 at 23:05
Gary NoblesGary Nobles
329316
asked Nov 24 '18 at 23:05
Gary NoblesGary Nobles
329316
asked Nov 24 '18 at 23:05
Gary NoblesGary Nobles
329316
asked Nov 24 '18 at 23:05
Gary NoblesGary Nobles
329316
asked Nov 24 '18 at 23:05
Gary NoblesGary Nobles
329316
329316
I think I need to bring the data in via numpyp = pcl.PointCloud(np.array([[data[1,2,3]], [3, 4, 5]], dtype=np.float32))
– Gary Nobles
Nov 25 '18 at 15:32
add a comment |
I think I need to bring the data in via numpyp = pcl.PointCloud(np.array([[data[1,2,3]], [3, 4, 5]], dtype=np.float32))
– Gary Nobles
Nov 25 '18 at 15:32
I think I need to bring the data in via numpy
p = pcl.PointCloud(np.array([[data[1,2,3]], [3, 4, 5]], dtype=np.float32))– Gary Nobles
Nov 25 '18 at 15:32
I think I need to bring the data in via numpy
p = pcl.PointCloud(np.array([[data[1,2,3]], [3, 4, 5]], dtype=np.float32))– Gary Nobles
Nov 25 '18 at 15:32
add a comment |
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I think I need to bring the data in via numpy
p = pcl.PointCloud(np.array([[data[1,2,3]], [3, 4, 5]], dtype=np.float32))– Gary Nobles
Nov 25 '18 at 15:32